Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Managing one’s availability for interaction with others is an increasingly complex act, involving multiple media and the sharing of many types of information. In this paper we d...
Jeremy P. Birnholtz, Jamie Guillory, Jeffrey T. Ha...
The client computing platform is moving towards a heterogeneous architecture consisting of a combination of cores focused on scalar performance, and a set of throughput-oriented c...
Bratin Saha, Xiaocheng Zhou, Hu Chen, Ying Gao, Sh...
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...